Shiyu Zhou
Shiyu Zhou
Professor of Industrial Engineering
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Cited by
Cited by
Active balancing and vibration control of rotating machinery: a survey
S Zhou, J Shi
Shock and Vibration Digest 33 (5), 361-371, 2001
State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors
S Zhou, Q Huang, J Shi
IEEE Transactions on robotics and automation 19 (2), 296-309, 2003
Quality control and improvement for multistage systems: A survey
J Shi, S Zhou
IIE transactions 41 (9), 744-753, 2009
Phase I analysis for monitoring nonlinear profiles in manufacturing processes
Y Ding, L Zeng, S Zhou
Journal of Quality Technology 38 (3), 199-216, 2006
Time-based competition in multistage manufacturing: Stream-of-variation analysis (SOVA) methodology
D Ceglarek, W Huang, S Zhou, Y Ding, R Kumar, Y Zhou
International Journal of Flexible Manufacturing Systems 16, 11-44, 2004
A simple approach to emulation for computer models with qualitative and quantitative factors
Q Zhou, PZG Qian, S Zhou
Technometrics 53 (3), 266-273, 2011
Diagnosability study of multistage manufacturing processes based on linear mixed-effects models
S Zhou, Y Ding, Y Chen, J Shi
Technometrics 45 (4), 312-325, 2003
An SPC monitoring system for cycle-based waveform signals using Haar transform
S Zhou, B Sun, J Shi
IEEE Transactions on Automation Science and Engineering 3 (1), 60-72, 2006
Kinematic analysis of dimensional variation propagation for multistage machining processes with general fixture layouts
JP Loose, S Zhou, D Ceglarek
IEEE Transactions on Automation Science and Engineering 4 (2), 141-152, 2007
Failure event prediction using the Cox proportional hazard model driven by frequent failure signatures
Z Li, S Zhou, S Choubey, C Sievenpiper
IIE transactions 39 (3), 303-315, 2007
Remaining useful life prediction of individual units subject to hard failure
Q Zhou, J Son, S Zhou, X Mao, M Salman
IIE Transactions 46 (10), 1017-1030, 2014
Statistical estimation and testing for variation root-cause identification of multistage manufacturing processes
S Zhou, Y Chen, J Shi
IEEE Transactions on Automation Science and Engineering 1 (1), 73-83, 2004
Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter
J Son, S Zhou, C Sankavaram, X Du, Y Zhang
Reliability Engineering & System Safety 152, 38-50, 2016
Diagnosis of multi-operational machining processes through variation propagation analysis
Q Huang, S Zhou, J Shi
Robotics and Computer-Integrated Manufacturing 18 (3-4), 233-239, 2002
Adaptive B-spline knot selection using multi-resolution basis set
Y Yuan, N Chen, S Zhou
Iie Transactions 45 (12), 1263-1277, 2013
Differentiating alcohol-induced driving behavior using steering wheel signals
D Das, S Zhou, JD Lee
IEEE Transactions on Intelligent Transportation Systems 13 (3), 1355-1368, 2012
Integrating GD&T into dimensional variation models for multistage machining processes
JP Loose, Q Zhou, S Zhou, D Ceglarek
International Journal of Production Research 48 (11), 3129-3149, 2010
Evaluation and comparison of mixed effects model based prognosis for hard failure
J Son, Q Zhou, S Zhou, X Mao, M Salman
IEEE Transactions on Reliability 62 (2), 379-394, 2013
Optimal one-plane active balancing of a rigid rotor during acceleration
S Zhou, J Shi
Journal of Sound and Vibration 249 (1), 196-205, 2002
Advances in battery manufacturing, service, and management systems
J Li, S Zhou, Y Han
John Wiley & Sons, 2016
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